Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation

arXiv:2404.02335v1 Announce Type: new
Abstract: The rapid expansion of texts' volume and diversity presents formidable challenges in multi-domain settings. These challenges are also visible in the Persian name entity recognition (NER) settings. Traditional approaches, either employing a unified model for multiple domains or individual models for each domain, frequently pose significant limitations. Single models often struggle to capture the nuances of diverse domains, while utilizing multiple large models can lead to resource constraints, rendering the training of a model for …

abstract arxiv bert challenges cs.ai cs.cl diversity domain domain adaptation domains expansion low multiple ner prompt prompt tuning recognition type unified model